Literature DB >> 34972741

Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer: A Multicenter Analysis.

Alexey Surov1, Jin You Kim2, Marco Aiello3, Wei Huang4, Thomas E Yankeelov5, Andreas Wienke6, Maciej Pech7.   

Abstract

BACKGROUND/AIM: To provide data regarding relationships between quantitative dynamic contrast enhanced magnetic resonance imaging (DCE MRI) and prognostic factors in breast cancer (BC). PATIENTS AND METHODS: Data from 4 Centers (200 female patients, mean age, 51.2±11.5 years) were acquired. The following data were collected: histopathological diagnosis, tumor grade, stage, hormone receptor status, KI 67, and DCE MRI values including Ktrans (volume transfer constant), Ve (volume of the extravascular extracellular leakage space (EES) and Kep (diffusion of contrast medium from the EES back to the plasma). DCE MRI values between different groups were compared using the Mann-Whitney U-test and by the Kruskal-Wallis H test. The association between DCE MRI and Ki 67 values was calculated by the Spearman's rank correlation coefficient.
RESULTS: DCE MRI values of different tumor subtypes overlapped significantly. There were no statistically significant differences of DCE MRI values between different tumor grades. All DCE MRI parameters correlated with KI-67: Ktrans, r=0.44, p=0.0001; Ve, r=0.34, p=0.0001; Kep, r=0.28, p=0.002. ROC analysis identified a Ktrans threshold of 0.3 min-1 for discrimination of tumors with low KI-67 expression (<25%) and high KI-67 expression (≥25%): sensitivity, 75.5%, specificity, 73.0%, accuracy, 74.0%, AUC, 0.78. DCE MRI values overlapped between tumors with different T and N stages.
CONCLUSION: Ktrans, Kep, and Ve cannot be used as reliable a surrogate marker for hormone receptor status, tumor stage and grade in BC. Ktrans may discriminate lesions with high and lower proliferation activity.
Copyright © 2022 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Breast cancer; DCE MRI; KI 67; hormone receptor

Mesh:

Substances:

Year:  2022        PMID: 34972741      PMCID: PMC8765187          DOI: 10.21873/invivo.12717

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  23 in total

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Authors:  Fumi Kato; Kohsuke Kudo; Hiroko Yamashita; Jeff Wang; Mitsuchika Hosoda; Kanako C Hatanaka; Rie Mimura; Noriko Oyama-Manabe; Hiroki Shirato
Journal:  Eur J Radiol       Date:  2015-11-02       Impact factor: 3.528

2.  Multiparametric diffusion-weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors.

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Journal:  J Magn Reson Imaging       Date:  2017-01-31       Impact factor: 4.813

3.  Can we use MR-mammography to predict nodal status?

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Journal:  Eur J Radiol       Date:  2012-09       Impact factor: 3.528

4.  Histogram analysis of quantitative pharmacokinetic parameters on DCE-MRI: correlations with prognostic factors and molecular subtypes in breast cancer.

Authors:  Ken Nagasaka; Hiroko Satake; Satoko Ishigaki; Hisashi Kawai; Shinji Naganawa
Journal:  Breast Cancer       Date:  2018-08-01       Impact factor: 4.239

5.  Quantitative Assessment of Tumor Cell Proliferation in Brain Gliomas with Dynamic Contrast-Enhanced MRI.

Authors:  Jia Shen Jiang; Ye Hua; Xue Jun Zhou; Dan Dan Shen; Jin Long Shi; Min Ge; Qi Nan Geng; Zhong Zheng Jia
Journal:  Acad Radiol       Date:  2018-11-08       Impact factor: 3.173

6.  Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers.

Authors:  Hye Ryoung Koo; Nariya Cho; In Chan Song; Hyeonjin Kim; Jung Min Chang; Ann Yi; Bo La Yun; Woo Kyung Moon
Journal:  J Magn Reson Imaging       Date:  2012-03-05       Impact factor: 4.813

7.  Invasive breast cancer: correlation of dynamic MR features with prognostic factors.

Authors:  Botond K Szabó; Peter Aspelin; Maria Kristoffersen Wiberg; Tibor Tot; Beata Boné
Journal:  Eur Radiol       Date:  2003-07-26       Impact factor: 5.315

8.  Luminal-type breast cancer: correlation of apparent diffusion coefficients with the Ki-67 labeling index.

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Journal:  Radiology       Date:  2014-09-05       Impact factor: 11.105

9.  Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma.

Authors:  Alexey Surov; Hans Jonas Meyer; Matthias Gawlitza; Anne-Kathrin Höhn; Andreas Boehm; Thomas Kahn; Patrick Stumpp
Journal:  Transl Oncol       Date:  2016-11-24       Impact factor: 4.243

10.  Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis.

Authors:  Alexey Surov; Yun-Woo Chang; Lihua Li; Laura Martincich; Savannah C Partridge; Jin You Kim; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-11-05       Impact factor: 4.430

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